Evidence map›Paper›PMID 42233732›Full record

ArticleProceedings (Baylor University. Medical Center)2026

Beyond dermatology: the role of allied health professionals in early recognition and reassurance of vitiligo.

Kritin K Verma, Sreeya Reddy, Sezim Minbaeva, Sahil Kapur, Michelle B Tarbox, Seemal R Desai

Abstract read
In one paragraph

Article in Proceedings (Baylor University. Medical Center), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Kritin K VermaSchool of Medicine, Texas Tech University Health Sciences Center, Lubbock, Texas, USA.ORCID 0000-0003-0548-3526
Sreeya ReddyPaul L. Foster School of Medicine, Texas Tech University Health Science Center - El Paso, El Paso, Texas, USA.ORCID 0009-0001-7030-7871
Sezim MinbaevaSchool of Medicine, Texas Tech University Health Sciences Center, Lubbock, Texas, USA.
Sahil KapurDepartment of Medicine, Division of Dermatology, University of Toledo College of Medicine and Life Sciences, Toledo, Ohio, USA.
Michelle B TarboxDepartment of Dermatology, Texas Tech University Health Sciences Center, Lubbock, Texas, USA.
Seemal R DesaiDepartment of Dermatology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vitiligo is a chronic depigmentary disorder affecting 0.5% to 2% of the population, caused by autoimmune destruction of melanocytes. Nondermatology clinicians, such as physical therapists, occupational therapists, chiropractors, and dentists, frequently observe patients' skin and are well positioned to detect early lesions on the face, extremities, trunk, and back. Early recognition is important due to associations with autoimmune comorbidities (e.g., thyroid disease, type 1 diabetes) and psychosocial impact, including anxiety and psychiatric conditions. With brief training and clear referral pathways, these professionals can facilitate timely dermatologic evaluation, provide reassurance, and prompt assessment for systemic disease. Early detection also supports improved outcomes with emerging therapies. Integrating dermatologic recognition into nondermatology clinical practice offers a practical, interdisciplinary strategy to enhance diagnosis, reduce patient distress, and improve holistic vitiligo care.

Indexed as

Allied Health PersonnelVitiligoDermatologyEarly DiagnosisHumansHealth professional educationinterdisciplinary healthcarepigmentary disordersskin disease recognitionvitiligo

Identifiers

PMID42233732
PMCPMC13523912

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.